CompaRNA - on-line benchmarks of RNA structure prediction methods
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Table of contents:

  1. Overview

  2. Performance Plots

  3. Performance of HotKnots - scored higher in this pairwise comparison

  4. Performance of Cylofold - scored lower in this pairwise comparison

  5. Compile and download dataset for HotKnots & Cylofold [.zip] - may take several seconds...


Overview

Metric HotKnots Cylofold
MCC 0.652 > 0.607
Average MCC ± 95% Confidence Intervals 0.702 ± 0.060 > 0.658 ± 0.061
Sensitivity 0.584 > 0.517
Positive Predictive Value 0.734 > 0.718
Total TP 1119 > 990
Total TN 222532 < 222679
Total FP 456 > 437
Total FP CONTRA 46 > 44
Total FP INCONS 360 > 344
Total FP COMP 50 > 49
Total FN 796 < 925
P-value 3.56938820447e-08

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Performance plots


  1. Comparison of performance of HotKnots and Cylofold. Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for HotKnots and Cylofold).

  2. Comparison of performance of HotKnots and Cylofold. Positive Predictive Value (PPV) is plotted against sensitivity. Each dot represents a single test of each method. See tables below for raw data (individual counts for HotKnots and Cylofold).

  3. Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for HotKnots and Cylofold).

  4. Average Matthews Correlation Coefficients (MCC) with 95% confidence intervals (CIs) were plotted for different RNA families, for which at least 3 members were present in the benchmarking dataset. 'n' denotes the number of MCCs used to calculate the average and CI. See tables below for raw data (individual counts for HotKnots and Cylofold).

  5. Comparison of average Matthews Correlation Coefficients (MCCs) for HotKnots and Cylofold. The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for HotKnots and Cylofold).

  6. Comparison of average Matthews Correlation Coefficients (MCCs) for HotKnots and Cylofold. The whiskers correspond to 95% confidence intervals (CIs). 'n' denotes the number of MCCs used to calculate average MCCs and CIs. See tables below for raw data (individual counts for HotKnots and Cylofold).

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Performance of HotKnots - scored higher in this pairwise comparison

1. Total counts & total scores for HotKnots

Total Base Pair Counts
Total TP 1119
Total TN 222532
Total FP 456
Total FP CONTRA 46
Total FP INCONS 360
Total FP COMP 50
Total FN 796
Total Scores
MCC 0.652
Average MCC ± 95% Confidence Intervals 0.702 ± 0.060
Sensitivity 0.584
Positive Predictive Value 0.734
Nr of predictions 75

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2. Individual counts for HotKnots [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KRL_A - 0.76 0.60 0.96 24 5126 5 0 1 4 16
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
2KXM_A - 0.89 0.80 1.00 8 343 0 0 0 0 2
2KZL_A - 0.86 0.74 1.00 14 1471 0 0 0 0 5
2L1F_B 0.98 0.96 1.00 24 2121 0 0 0 0 1
2L1F_A 0.98 0.96 1.00 23 2057 0 0 0 0 1
2L2K_A - 0.94 0.89 1.00 17 844 0 0 0 0 2
2L3C_B - 0.91 0.82 1.00 14 547 0 0 0 0 3
2L3E_A - 0.96 0.92 1.00 12 583 1 0 0 1 1
2L3J_B 0.94 0.88 1.00 30 2455 0 0 0 0 4
2L5Z_A - 0.86 0.75 1.00 9 316 0 0 0 0 3
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LA5_A - 0.39 0.26 0.63 5 622 3 1 2 0 14
2LC8_A 0.61 0.55 0.69 11 1524 5 0 5 0 9
2LDL_A - 0.90 0.82 1.00 9 342 1 0 0 1 2
2LDT_A - 0.85 0.73 1.00 11 454 0 0 0 0 4
2LI4_A - 0.93 0.88 1.00 14 482 0 0 0 0 2
2LK3_A - 0.95 0.90 1.00 9 267 0 0 0 0 1
2LKR_A - 0.93 0.87 1.00 34 6071 3 0 0 3 5
2LWK_A - 0.83 0.77 0.91 10 485 1 0 1 0 3
2RRC_A - 0.83 0.70 1.00 7 224 0 0 0 0 3
2XKV_B 0.51 0.50 0.53 10 4541 23 0 9 14 10
2XQD_Y 0.88 0.78 1.00 21 2829 0 0 0 0 6
2XXA_G 0.34 0.31 0.39 13 5118 20 1 19 0 29
2Y9C_V - 0.65 0.63 0.68 15 2256 8 1 6 1 9
2YIE_Z - -0.01 0.00 0.00 0 1525 15 3 12 0 12
2YIE_X - 0.36 0.33 0.40 4 1368 6 2 4 0 8
3ADB_C - 0.79 0.74 0.85 28 4153 5 0 5 0 10
3AKZ_H 0.43 0.39 0.48 11 2678 12 2 10 0 17
3AM1_B - 0.78 0.71 0.86 25 3211 4 0 4 0 10
3AMU_B 0.70 0.59 0.84 16 2984 5 0 3 2 11
3IZF_C 0.70 0.61 0.80 33 6862 8 1 7 0 21
3J0L_7 - 0.28 0.29 0.29 5 1208 12 0 12 0 12
3J0L_g - -0.01 0.00 0.00 0 460 5 1 4 0 4
3J0L_a - 0.51 0.50 0.53 8 1113 7 3 4 0 8
3J0L_2 - 0.28 0.27 0.29 9 6185 23 3 19 1 24
3J0L_1 - 0.76 0.63 0.92 12 1212 2 0 1 1 7
3J0L_h - 0.75 0.60 0.93 26 6077 4 0 2 2 17
3J16_L 0.26 0.23 0.30 7 2752 16 1 15 0 23
3J20_1 0.73 0.70 0.76 16 2905 7 0 5 2 7
3J20_0 0.45 0.40 0.52 12 2827 12 0 11 1 18
3J2C_O - 0.60 0.49 0.74 31 10254 12 0 11 1 32
3J2L_3 0.62 0.53 0.74 28 7837 12 0 10 2 25
3NDB_M - 0.84 0.74 0.96 45 9133 3 0 2 1 16
3NKB_B - 0.59 0.54 0.67 14 1995 7 0 7 0 12
3NMU_E - 0.54 0.50 0.60 3 556 5 0 2 3 3
3O58_3 0.23 0.26 0.21 9 12360 34 10 24 0 26
3O58_2 0.71 0.71 0.71 27 7222 12 4 7 1 11
3OVB_D - 1.00 1.00 1.00 11 584 1 0 0 1 0
3OVS_D - 0.96 0.92 1.00 12 549 0 0 0 0 1
3P22_G - 0.96 0.92 1.00 11 730 0 0 0 0 1
3PDR_A 0.67 0.56 0.82 40 12831 11 0 9 2 32
3R4F_A - 0.96 0.92 1.00 23 2122 0 0 0 0 2
3R9X_C - 0.84 0.80 0.89 8 586 2 0 1 1 2
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.64 0.52 0.79 22 3888 6 1 5 0 20
3SIU_F - 0.85 0.73 1.00 8 370 0 0 0 0 3
3SN2_B 0.96 0.92 1.00 11 395 0 0 0 0 1
3TRZ_Z - 0.91 0.83 1.00 5 205 1 0 0 1 1
3TS2_V - 1.00 1.00 1.00 5 271 0 0 0 0 0
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.48 0.38 0.61 14 3547 9 0 9 0 23
3VJR_D - 0.96 0.92 1.00 12 618 0 0 0 0 1
3W3S_B 0.55 0.50 0.61 20 4720 14 1 12 1 20
3ZEX_D 0.78 0.67 0.92 33 6985 3 0 3 0 16
3ZEX_E - 0.00 0.00 0.00 0 21893 54 4 48 2 77
4A4U_A - 1.00 1.00 1.00 9 222 0 0 0 0 0
4AOB_A 0.50 0.40 0.63 17 4344 11 2 8 1 25
4ATO_G - 0.61 0.70 0.54 7 515 6 2 4 0 3
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4FNJ_A - 0.79 0.63 1.00 10 585 0 0 0 0 6
4FRG_B 0.32 0.28 0.38 9 3462 15 0 15 0 23
4FRN_A 0.52 0.44 0.62 16 5125 10 2 8 0 20
4HXH_A - 1.00 1.00 1.00 6 319 0 0 0 0 0

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Performance of Cylofold - scored lower in this pairwise comparison

1. Total counts & total scores for Cylofold

Total Base Pair Counts
Total TP 990
Total TN 222679
Total FP 437
Total FP CONTRA 44
Total FP INCONS 344
Total FP COMP 49
Total FN 925
Total Scores
MCC 0.607
Average MCC ± 95% Confidence Intervals 0.658 ± 0.061
Sensitivity 0.517
Positive Predictive Value 0.718
Nr of predictions 75

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2. Individual counts for Cylofold [ download as .csv ]

RNA Chain Rfam family MCC SENS PPV TP TN FP FP CONTRA FP INCONS FP COMP FN
2KRL_A - 0.72 0.60 0.86 24 5123 8 2 2 4 16
2KX8_A 0.94 0.89 1.00 16 845 0 0 0 0 2
2KXM_A - 0.70 0.50 1.00 5 346 0 0 0 0 5
2KZL_A - 0.72 0.53 1.00 10 1475 0 0 0 0 9
2L1F_B 0.92 0.84 1.00 21 2124 0 0 0 0 4
2L1F_A 0.91 0.83 1.00 20 2060 0 0 0 0 4
2L2K_A - 0.82 0.68 1.00 13 848 0 0 0 0 6
2L3C_B - 0.76 0.59 1.00 10 551 0 0 0 0 7
2L3E_A - 0.96 0.92 1.00 12 583 1 0 0 1 1
2L3J_B 0.89 0.79 1.00 27 2458 0 0 0 0 7
2L5Z_A - 0.86 0.75 1.00 9 316 0 0 0 0 3
2L94_A 0.97 0.95 1.00 19 971 0 0 0 0 1
2LA5_A - 0.46 0.26 0.83 5 624 1 0 1 0 14
2LC8_A 0.61 0.55 0.69 11 1524 5 0 5 0 9
2LDL_A - 0.73 0.55 1.00 6 345 0 0 0 0 5
2LDT_A - 0.85 0.73 1.00 11 454 0 0 0 0 4
2LI4_A - 0.93 0.88 1.00 14 482 0 0 0 0 2
2LK3_A - 0.95 0.90 1.00 9 267 0 0 0 0 1
2LKR_A - 0.50 0.44 0.59 17 6076 12 2 10 0 22
2LWK_A - 0.83 0.77 0.91 10 485 1 0 1 0 3
2RRC_A - 0.70 0.50 1.00 5 226 0 0 0 0 5
2XKV_B 0.38 0.40 0.36 8 4538 23 7 7 9 12
2XQD_Y 0.81 0.78 0.84 21 2825 4 4 0 0 6
2XXA_G 0.10 0.10 0.11 4 5115 32 1 31 0 38
2Y9C_V - 0.59 0.54 0.65 13 2258 8 1 6 1 11
2YIE_Z - -0.01 0.00 0.00 0 1529 11 3 8 0 12
2YIE_X - 0.30 0.33 0.29 4 1364 10 2 8 0 8
3ADB_C - 0.78 0.71 0.87 27 4155 4 0 4 0 11
3AKZ_H 0.66 0.57 0.76 16 2680 6 0 5 1 12
3AM1_B - 0.76 0.63 0.92 22 3216 2 0 2 0 13
3AMU_B 0.67 0.59 0.76 16 2982 7 0 5 2 11
3IZF_C 0.68 0.56 0.83 30 6867 6 0 6 0 24
3J0L_7 - 0.30 0.29 0.33 5 1210 10 0 10 0 12
3J0L_g - -0.01 0.00 0.00 0 461 4 1 3 0 4
3J0L_a - 0.22 0.19 0.27 3 1117 8 1 7 0 13
3J0L_2 - 0.39 0.36 0.43 12 6188 18 2 14 2 21
3J0L_1 - 0.65 0.47 0.90 9 1215 2 0 1 1 10
3J0L_h - 0.48 0.37 0.62 16 6079 10 0 10 0 27
3J16_L 0.75 0.57 1.00 17 2758 0 0 0 0 13
3J20_1 0.69 0.70 0.70 16 2903 7 2 5 0 7
3J20_0 0.66 0.57 0.77 17 2828 6 1 4 1 13
3J2C_O - 0.43 0.33 0.55 21 10258 18 0 17 1 42
3J2L_3 0.56 0.43 0.72 23 7843 11 0 9 2 30
3NDB_M - 0.58 0.48 0.71 29 9139 13 1 11 1 32
3NKB_B - 0.40 0.31 0.53 8 2001 7 0 7 0 18
3NMU_E - 0.20 0.17 0.25 1 557 6 1 2 3 5
3O58_3 0.36 0.34 0.38 12 12371 29 5 15 9 23
3O58_2 0.80 0.68 0.93 26 7232 3 0 2 1 12
3OVB_D - 1.00 1.00 1.00 11 584 1 0 0 1 0
3OVS_D - 0.96 0.92 1.00 12 549 0 0 0 0 1
3P22_G - 0.96 0.92 1.00 11 730 0 0 0 0 1
3PDR_A 0.72 0.54 0.95 39 12839 4 0 2 2 33
3R4F_A - 0.96 0.92 1.00 23 2122 0 0 0 0 2
3R9X_C - 0.84 0.80 0.89 8 586 2 0 1 1 2
3RKF_A 0.76 0.59 1.00 20 2191 0 0 0 0 14
3SD1_A 0.62 0.50 0.78 21 3889 6 0 6 0 21
3SIU_F - 0.73 0.55 1.00 6 372 0 0 0 0 5
3SN2_B 0.64 0.42 1.00 5 401 0 0 0 0 7
3TRZ_Z - 0.91 0.83 1.00 5 205 1 0 0 1 1
3TS2_V - 1.00 1.00 1.00 5 271 0 0 0 0 0
3U4M_B - 0.38 0.32 0.46 12 3134 14 0 14 0 25
3UZL_B 0.45 0.38 0.54 14 3544 12 1 11 0 23
3VJR_D - 0.96 0.92 1.00 12 618 0 0 0 0 1
3W3S_B 0.44 0.38 0.52 15 4724 15 0 14 1 25
3ZEX_D 0.58 0.49 0.69 24 6986 11 0 11 0 25
3ZEX_E - 0.00 0.00 0.00 0 21897 51 2 46 3 77
4A4U_A - 1.00 1.00 1.00 9 222 0 0 0 0 0
4AOB_A 0.35 0.26 0.48 11 4348 13 1 11 1 31
4ATO_G - 0.73 0.70 0.78 7 519 2 1 1 0 3
4ENB_A 0.89 0.79 1.00 15 1260 0 0 0 0 4
4ENC_A 0.86 0.79 0.94 15 1310 1 1 0 0 4
4FNJ_A - 0.70 0.50 1.00 8 587 0 0 0 0 8
4FRG_B 0.81 0.66 1.00 21 3465 0 0 0 0 11
4FRN_A 0.20 0.14 0.31 5 5135 11 2 9 0 31
4HXH_A - 1.00 1.00 1.00 6 319 0 0 0 0 0

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Matthews Correlation Coeffient, Sensitivity and Positive Predictive Value have been calculated based on the paper by Gardener & Giegerich, 2004.